Anthropic
Research Engineer, Life Sciences
$350K–$500K
San Francisco, CA +1 · Full-time · Posted Jul 3, 2026
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- Years required correlate with internal job-level requirements; 8+ years of machine-learning experience preferred.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; the company will make every reasonable effort to obtain a visa after an offer.
About the job
Develop machine-learning evaluation frameworks and training strategies to improve AI performance on complex life-sciences research tasks.
What you'll do
- Develop evaluation methods and training strategies for AI in biology.
- Build AI systems that support phases of scientific research and development.
- Collaborate with researchers and engineers to measure and improve model performance.
What they ask for
- Demonstrated experience training and evaluating large language models.
- Proficiency in Python and familiarity with modern ML development practices.
- Experience building and managing data pipelines for large-scale datasets.
- Strong communication skills and ability to work independently and collaboratively in ambiguous research environments.
Nice to have
- Experience in AI and biology, large-scale biological datasets, or scientific AI applications.
- Background in reinforcement learning or pretraining; containerization or cloud deployment experience.
Pay
$350,000 — $500,000 USD (base salary)
Tools
Python, Docker, Kubernetes
AI focus
Develop evaluation frameworks and training strategies for AI systems applied to biology and scientific research.
Model-written summary · the original posting is authoritative